Responsibilities

• Own the global product marketing strategy for AI Systems and Accessories , defining long-term positioning, portfolio architecture, and go-to-market frameworks across multiple product lines.
• Lead and manage a team of product marketing managers, providing clear direction, coaching, performance management, and career development to build a high-performing, scalable organization.
• Set strategic direction for product launches at a portfolio level, ensuring cohesive messaging, differentiated positioning, and consistent execution across regions and channels.
• Partner with Product Management to influence roadmap decisions, pricing strategy, and lifecycle planning based on market insights, competitive intelligence, and customer needs across consumer and professional segments.
• Define the systems-and-accessories attach strategy, ensuring docks, cooling, and peripheral products are positioned to extend the value of the core system and drive incremental revenue.
• Translate technical capability — including on-device AI performance, NPU-accelerated workflows, and thermal and power design — into clear, credible, benefit-led customer messaging, working with engineering to ensure claims are substantiated.
• Own category-level business performance, including revenue impact, market share growth, and return on marketing investment, with accountability for key OKRs.
• Develop and oversee annual marketing plans and budgets for the AI systems and accessories portfolio, ensuring resources are allocated against the highest-impact initiatives.
• Act as the primary product marketing voice to senior leadership and executive stakeholders, translating market complexity into clear strategic recommendations.
• Drive competitive and market intelligence programs, identifying emerging trends, white spaces, and threats, and ensuring insights are embedded into strategic planning.

Requirements

• Extensive experience in product marketing spanning both consumer and professional audiences, preferably within PCs, consumer electronics, computing hardware, or adjacent categories.
• Demonstrated success leading multi-product, global go-to-market strategies with measurable business impact.
• Proven people leader with experience managing and scaling high-performing teams.
• Working fluency in AI computing concepts — on-device versus cloud inference, NPU/GPU/CPU tradeoffs, and common AI workloads — with the ability to translate technical capability into customer-facing value.
• Strong strategic, analytical, and financial acumen, with the ability to connect marketing strategy to business outcomes.
• Exceptional executive-level communication and presentation skills.
• Deep understanding of digital marketing channels, lifecycle marketing, and modern GTM frameworks.
• Experience marketing hardware through both direct and retail/channel routes to market.
• Experience operating in complex, matrixed organizations with global stakeholders.
• AI-related certifications or formal coursework — such as NVIDIA Deep Learning Institute, Microsoft Azure AI, AWS Machine Learning, or Google Cloud AI credentials — are a plus.

Preferred

• MBA or advanced technical degree preferred.
• AI-related certifications or formal coursework — such as NVIDIA Deep Learning Institute, Microsoft Azure AI, AWS Machine Learning, or Google Cloud AI credentials — are a plus.